Kinect Projects Update

Wow – so I got Slashdotted. Very unexpected but still counts as one life goal down 😉
First of all thanks for the comments and the feedback. There’s some really interesting discussion going on here and I plan to follow-up on some of the ideas raised. This is exactly why I posted this stuff.
As I’m sure everyone can see this is a pretty rough proof-of-concept. I just thought I’d share some pics and a bit of code once I got something working.

I’ll just address a few quick points while more than 6 people per day are reading my blog :).
1. Phone GPS quality – yes the GPS accuracy I can expect from my phone is pretty poor compared to professional solutions – I work with some pretty expensive kit myself. I was hoping to make a hack that could be replicated without people spending a lot of money and so if I get my hands on a newer phone I’ll see if I can get some inertial sensing going too.

2. Advanced techniques for combining pointclouds – yes there is so much more that could be done with all this. To be honest I just posted this after I spent a bit of time hacking and got something working.

The original concept was to enable low-cost vehicle based mapping using commodity hardware and open-source software. Imagine a crowdsourced 3D map of the world that everyone can contribute to a la OpenStreetMap. Obviously just logging depth frames from the Kinect is a long way from such a dream, but hopefully at some point I will be able to put more time into it and progress the project. I’m calling it Dramatic Mapping.

However I have a few other projects that might take away my attention at least temporarily:

A commenter mentioned using the Kinect with a 3D printer and I can tell you that I already have plans for such.
In fact, the parts to construct a RepRap have been on their way for 2 weeks now (but appear to be stuck in Australian customs). Once I get it printing I intend to use the Kinect as a 3D scanner to create a nice workflow for duplicating real world objects. I will blog about this so don’t worry.

I also want to explore ROS and it’s packages (and learn a lot!). To this end I think an iRobot Create might be a planned purchase :).
I do have some experience with dealing with large pointclouds in my day job and so some more advanced techniques as suggested by commenters are also possible – if I get the time. ROS also seems like an awesome jumping off point – many awesome hackers have built a really impressive system.



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3 thoughts on “Kinect Projects Update

  1. Trevor says:

    Martin, thank you for your work! I’m very excited to see the work you have done with the street mapping. I’ve been looking for something like this – I want to develop a backpack-able system that urban explorers can carry with them to help document and capture their surroundings in a deep way, thus preserving the experience for others. -cameras just don’t give you the same effect. I know you have got a lot of things going, but I hope you find time to keep working on this 🙂 If you need help testing, I have a netbook and an android phone and could buy the other necessarily hardware.

    The issue that needs solved is that for interiors, we can’t rely on GPS data. I wonder if accelerometers could be used in combo with some intelligent post processing to match and stitch the point clouds.

  2. […] me of follow-up comments via email. Notify me of new posts via email. Kinect Projects Update Structured Light on the iPhone! RSS […]

  3. bang jacky says:

    I’d like to find your blog. street mapping with kinect will come true by your help.

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